Artificial Intelligence Overview Training Course

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Course Code

aiint

Duration

7
hours (usually 1 day including breaks)

Requirements

General knowledge of computing, biology, maths and physics.

Overview

This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and everyone who is interested overview of applied artificial intelligence and the nearest forecast for its development.

Course Outline

Artificial Intelligence History

Intelligent Agents

Problem Solving

Solving Problems by Searching

Beyond Classical Search

Adversarial Search

Constraint Satisfaction Problems

Knowledge and Reasoning

Logical Agents

First-Order Logic

Inference in First-Order Logic

Classical Planning

Planning and Acting in the Real World

Knowledge Representation

Uncertain Knowledge and Reasoning

Quantifying Uncertainty

Probabilistic Reasoning

Probabilistic Reasoning over Time

Making Simple Decisions

Making Complex Decisions

Learning

Learning from Examples

Knowledge in Learning

Learning Probabilistic Models

Reinforcement Learning

Communicating, Perceiving, and Acting;

Natural Language Processing

Natural Language for Communication

Perception

Robotics

Conclusions

Philosophical Foundations

AI: The Present and Future

Guaranteed to run even with a single delegate!

Public Classroom

Participants from multiple organisations. Topics usually cannot be customised